Curriculum 2024-2025
2024-2025 Curriculum
Ist CYCLE OF STUDY – BACHELOR OF SCIENCE:
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Domain |
Qualification |
Year of study |
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Computer Science and Information Technology |
Computer Science (in english) |
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System Engineering |
Automation and Applied Informatics (in english) |
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IInd CYCLE OF STUDY – MASTER OF SCIENCE
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Domain |
Qualification |
Year of study |
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Computer Science and Information Technology |
Artificial Intelligence and Vision (AIV) (EN) |
IInd Year |
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Cybersecurity Engineering (CE) (EN) |
IInd Year |
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Data Science (DS) (EN) |
IInd Year |
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System Engineering |
Cyber-Physical Systems (CPS)
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Syllabus 2024 2025 - Bachelor of Science
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Syllabus |
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Computer Science (in english) |
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Ist YEAR |
IInd YEAR |
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7.20.French Language I |
21.20.French Language I - Technical documents elaboration |
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8.Mathematical Analysis_II (Integral calculus and differential equations) |
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13.20.French Language II |
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28.20.French Language II - Technical documents elaboration |
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101.Fundamentals of electronic circuits (fac.) |
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200.Educational psychology |
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202.Pedagogy II |
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102.Chemistry |
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201.Pedagogy I |
104.Mechanics |
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203.Didactics of the specialization |
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IIIrd YEAR |
IVth YEAR |
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49.20.Personal and professional development, ethics and academic integrity |
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105. Robot control systems |
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204.Computer assisted training |
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205.Teaching practice in compulsory pre-university education (1) |
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106.Signals and systems |
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107.Real-time systems |
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206.Classroom management |
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207.Teaching [ractice in compulsory pre-university education (2)(12 week) |
117.Autonomous driving: technology, dynamics and control |
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208.Graduation examn level I |
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Syllabus |
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Automation and Applied Informatics (in english) |
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Ist YEAR |
IInd YEAR |
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22.10. English Language I-Technical documents elaboration |
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7.2.French Language I |
22.20. French Language I-Technical documents elaboration |
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7.3.German Language I |
22.30. German Language I-Technical documents elaboration |
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14.2.French Language II |
30.10. English Language II-Technical documents elaboration |
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14.3.German Language II |
30.20. French Language II-Technical documents elaboration |
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30.30. German Language II-Technical documents elaboration |
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103.Basics of Quantum Information |
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104.Pedagogy II |
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201.Pedaagogy I |
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203.Didactics of the specialization |
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IIIrd YEAR |
IVth YEAR |
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106.Automation in Industrial aplications I |
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107.Computer Assisted Training |
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108.Teaching Practice in compulsory pre-university education (1) |
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109.Automation in industrial application II |
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110.Classroom management |
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111.Teaching prcatice in compulsory pre-university education (2)(12 weeks) |
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112.Graduation Exam Level I. |
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60.Graduation Project Defense |
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113.Entrepreneurship |
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114.Autonomous driving: Technology, Dynamics and Control |
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Syllabus 2024 2025- Master of Science
| Artificial Intelligence and Vision (AIV) | |
| Ist Year | IInd Year |
| 1. Intelligent Agent Systems | 13. Human-Computer Interface |
| 2. Computer Networks | 14. Programming Engineering |
| 3. Distributed Systems | 15. Natural Language Processing |
| 4. Deep Learning Based Computer Vision | 16. Virtual Reality |
| 5. Artificial Intelligence and Computer Vision Project 1 | 17. Ethics and Academic Integrity |
| 6. Research Activity 1 | 18. Artificial Intelligence and Computer Vision Project 3 |
| 7.10. Statistics and Probabilities | 19. Research Activity 3 |
| 7.20. Languages and Type Systems | 20. Research Practice |
| 7.30. Algorithms and Computability | 21. Field Specific Research for the Master Thesis |
| 8.10. Interactive Systems | 22. Dissertation Project Work |
| 8.20. Industrial Informatics | 23. Dissertation Defence |
| 9. Semantic Web and Agents | 204.Didactics of the Field and Development in Didactics Specialities |
| 10. Computer Vision for Mobile Systems | 205.10. School Organization Management |
| 11. Artificial Intelligence and Computer Vision Project 2 | 205.20. Metacognitive Education |
| 12. Research Activity 2 | 205.30. Intercultural Education |
| 100. Mathematical models for machine learning | 303. Voluteering 3 |
| 201. Psychopedagogy of Adolescents,Youngs and Adults | 206. Teaching Practice (in Secondary School and Tertiary Education) |
| 301. Volunteering 1 | 207. Graduation Exam - Level II |
| 202. Design and Management of Educational Programs | 304. Voluteering 4 |
| 203.10. Educational Communication | |
| 203.20. Educational Research Methodology | |
| 203.30. Modern Orientations in Evaluation Theory and Practice | |
| 302. Volunteering 2 | |
| Cybersecurity Engineering (CS) | |
| Ist Year | IInd Year |
| 1. Software Security | 11. Digital Forensics and Incident Response |
| 2. Information Security | 12. Security Configuration of Computing Systems and Networks |
| 3. Reverse engineering and Malware analysis | 13. Penetration Testing |
| 4.10. Mobile Security | 14.Applied cryptography |
| 4.20. Programming Security Mechanisms of x86-64 Architecture | 15. Ethics and Academic Integrity |
| 5. Research Activity 1 | 16. Research Activity 3 |
| 6. Windows Internals and Kernel Driver Development | 17. Professional internship/ Designing practice |
| 7. Information Systems Audit and Risk Management | 18. Practice for the Elaboraton of the Dissertation |
| 8. Web Security | 19. Dissertation Project Work |
| 9.10. Big Data and Machine Learning for Cybersecurity | 20. Dissertation Defence |
| 9.20. Virtualization and Hardware-based security | 204.Didactics of the Field and Development in Didactics Specialities |
| 10. Research Activity 2 | 205.10. School Organization Management |
| 201. Psychopedagogy of Adolescents,Youngs and Adults | 205.20. Metacognitive Education |
| 301. Volunteering 1 | 205.30. Intercultural Education |
| 202. Design and Management of Educational Programs | 303. Voluteering 3 |
| 203.10. Educational Communication | 206. Teaching Practice (in Secondary School and Tertiary Education) |
| 203.20. Educational Research Methodology | 207. Graduation Exam - Level II |
| 203.30. Modern Orientations in Evaluation Theory and Practice | 304. Voluteering 4 |
| 302. Volunteering 2 | |
| Data Science (DS) | |
| Isr Year | IInd Year |
| 1. Big Data | 13. Blockchain |
| 2. Algorithms | 14.10. Data-Driven Business and Behaviour Analytics |
| 3. Database Systems | 14.20. NeuroScience |
| 4. Machine Learning 1 | 15.10. Internet of Things and Industry 4.0 |
| 5. Mathematical Models for ML | 15.20. Complex Networks |
| 6. Research Activity 1 | 16.10. Natural Language Processing |
| 7.10. Machine Learning 2 | 16.20. Advanced in Computer Vision |
| 7.20. Architecture of Informations Systems | 17.10. Cloud Computing |
| 7.30 Advanced Topics of Functional Programming | 17.20. Information Security |
| 8.10. Data Analytics Pipeline | 18. Ethics and Academic Integrity |
| 8.20. Time Series Analysis | 19. Research Activity 3 |
| 9. Information Theory ans Statistics | 20. Research Practice |
| 10. data warehouse and Business Intelligence | 21. Field Specific Research for the Master Thesis |
| 11. Image Processing and Computer Vision | 22. Dissertation Project Work |
| 12. Research Activity 2 | 23. Presentation of Dissertation |
| 201. Psychopedagogy of Adolescents,Youngs and Adults | 204.Didactics of the Field and Development in Didactics Specialities |
| 301. Volunteering 1 | 205.10. School Organization Management |
| 202. Design and Management of Educational Programs | 205.20. Metacognitive Education |
| 203.10. Educational Communication | 205.30. Intercultural Education |
| 203.20. Educational Research Methodology | 303. Voluteering 3 |
| 203.30. Modern Orientations in Evaluation Theory and Practice | 206. Teaching Practice (in Secondary School and Tertiary Education) |
| 302. Volunteering 2 | 207. Graduation Exam - Level II |
| 304. Voluteering 4 | |